DETECTING SINKHOLE ATTACK IN MANET USING OLSR ROUTING PROTOCOL WITH ARTIFICIAL INTELLIGENCE

Abstract

Security is the most basic requirement in MANET so that the confidential information cannot be stolen by the hackers. Routing protocols attacks are mainly occurs in MANET to steal the information by informing them a wrong route. Sinkhole attack is one of the most commonly occurred attack in the MANET. In sinkhole attack, a burglar hops broadcast immoral routing message to produce itself as a specific hop and consider that a network will transfer all the information by itself. After entertaining whole network information, it modify the secret information, such as data packet may changes or drops the packets to make the network very complex. In the proposed work, OLSR (Proactive link state routing protocol) protocol will be used to find the route between source and destination within the Mobile adhoc network. This protocol will used hello and topology control message to find the route within the network. The performance of OLSR will be improved by using OLSR in combination with ABC algorithm. ABC is an optimization technique that will used to improve the performance on the basis of population based search procedure. After applying these two approaches the performance parameters of the MANET like Throughput, delay, energy consumption and Bit error rate will be determined. Also, a classification technique known as artificial neural network will be applied to solve the problem occur in the network after applying ABC. Thus parameters like Throughput, Delay, Mean Square error, bit error rate and energy consumption will be calculated. The simulation of the research work will be carried out in MATLAB environment.